干旱区生态环境知识资源中心(Arid): Assessing shallow groundwater level using RTI model and long-term MODIS data in Ejina Basin, Northwest China

Arid

DOI	10.1007/s12145-021-00587-5
	Assessing shallow groundwater level using RTI model and long-term MODIS data in Ejina Basin, Northwest China
	Luo, Dayou; Wen, Xingping; Xu, Junlong; Zhang, Haonan; Vongphet, Sihapanya; He, Ping
通讯作者	Wen, XP (corresponding author), Kunming Univ Sci & Technol, Fac Land Resource Engn, Kunming 650093, Yunnan, Peoples R China. ; Wen, XP (corresponding author), Mineral Resources Predict & Evaluat Engn Lab Yunn, Kunming 650093, Yunnan, Peoples R China.
来源期刊	EARTH SCIENCE INFORMATICS
ISSN	1865-0473
EISSN	1865-0481
出版年	2021
卷号	14 期号:2 页码:861-870
英文摘要	The present study aims to exploit the thermal inertia model to assess the shallow groundwater level distribution, as an attempt to address agricultural water shortage and ecological degradation in arid and semi-arid regions. Apparent thermal inertia (ATI) model is one of the most commonly used and successfully implemented models, whereas in some cases, the scales of the results achieved on different dates are inconsistent, which poses a serious difficulty when monitoring soil moisture over time. To address this restriction, we introduce a soil moisture indicator, called RTI, which derives an approximation of soil thermal inertia, from flexible multi-temporal MODIS observations covering a 2-year period. Taking the Ejina Basin in arid area as an example, to more accurately assess the shallow groundwater level distribution, ATI and RTI models were adopted based on the long time series MODIS data to assess the multi-temporal soil moisture content in the study area. The data of groundwater level measured by observation well and thermal inertia were employed to generate scatter diagrams. Subsequently, a nonlinear equation was developed. Based on the thermal inertia, the temporal and spatial distribution map of the shallow groundwater level in the whole study area was generated with the inverse calculation of the nonlinear equation. It was found that the shallow groundwater level distribution in Ejina Basin tended to be shallower from south to north, as well as from summer to winter. As revealed from the results, both ATI and RTI models can effectively assess the shallow groundwater level in arid areas. The RTI model could better reflect the seasonal changes of soil moisture content and groundwater level.
英文关键词	Groundwater level Real thermal inertia (RTI) Ejina Basin Arid areas Soil moisture
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000625042300001
WOS类目	Computer Science, Interdisciplinary Applications ; Geosciences, Multidisciplinary
WOS研究方向	Computer Science ; Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/349963
作者单位	[Luo, Dayou; Wen, Xingping; Xu, Junlong; Zhang, Haonan; Vongphet, Sihapanya; He, Ping] Kunming Univ Sci & Technol, Fac Land Resource Engn, Kunming 650093, Yunnan, Peoples R China; [Luo, Dayou; Wen, Xingping; Xu, Junlong; Zhang, Haonan; Vongphet, Sihapanya; He, Ping] Mineral Resources Predict & Evaluat Engn Lab Yunn, Kunming 650093, Yunnan, Peoples R China
推荐引用方式 GB/T 7714	Luo, Dayou,Wen, Xingping,Xu, Junlong,et al. Assessing shallow groundwater level using RTI model and long-term MODIS data in Ejina Basin, Northwest China[J],2021,14(2):861-870.
APA	Luo, Dayou,Wen, Xingping,Xu, Junlong,Zhang, Haonan,Vongphet, Sihapanya,&He, Ping.(2021).Assessing shallow groundwater level using RTI model and long-term MODIS data in Ejina Basin, Northwest China.EARTH SCIENCE INFORMATICS,14(2),861-870.
MLA	Luo, Dayou,et al."Assessing shallow groundwater level using RTI model and long-term MODIS data in Ejina Basin, Northwest China".EARTH SCIENCE INFORMATICS 14.2(2021):861-870.